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visualspec

Structured, constraint-aware visual generation and deterministic layout for AI agents

utkarshx27/visualspeccommunitylistedunreviewed
Use tool

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

  • Node.js 20 or newer
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "visualspec": {
      "command": "npx",
      "args": [
        "-y",
        "@utkarshx27/visualspec"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 14, 2026

VisualSpec

Deterministic visual generation for AI agents.
AI creates the imagery. VisualSpec guarantees the typography and layout.

# Instant workspace setup (no clone required)
npx @utkarshx27/visualspec init

# Launch local MCP Server for Cursor, Claude Desktop, or Antigravity
npx @utkarshx27/visualspec mcp

The Core Problem

Most image-generation workflows fail for social and marketing graphics because a single natural-language prompt is expected to handle too many concerns at once:

  • subject & background
  • exact typography & wording
  • platform dimensions & safe margins
  • visual hierarchy & negative space
  • brand color rules & constraints

Image models frequently hallucinate gibberish text, truncate words, or disregard composition rules.

The Solution: Layer Separation

VisualSpec separates generative concerns from deterministic concerns:

  1. Generative Layers (AI Models): Photography, 3D subjects, atmospheric backgrounds, textures, lighting.
  2. Deterministic Layers (Code & SVG Engine): Exact headlines, subtitles, badges, logos, metrics, safe margins, and layout rules.
  3. Structured Visual Spec: A machine-readable YAML specification that acts as the single contract.
  4. Visual QA & Targeted Repair: Verifies geometry, margins, and exact copy invariants, synthesizing localized repairs without regenerating entire scenes.
User Brief / Intent
       │
       ▼
   Visual Spec (spec.yaml)
       │
   ┌───┴──────────────┐
   ▼                  ▼
Platform Pack    Template Pack
   │                  │
   └───┬──────────────┘
       ▼
   Spec Resolver
       │
   ┌───┴───────────────────────┐
   ▼                           ▼
Model Adapter           Deterministic Layout
(Generative Base)       (SVG Typography / Overlay)
   │                           │
   └───┬───────────────────────┘
       ▼
  Compositor (Sharp)
       │
       ▼
   Visual QA (Constraints, Safe Margins, Exact Copy)
       │
       ├── PASS ──► Final Asset Bundle
       │
       └── FAIL ──► Targeted Repair Planner

Documentation

Quickstart

Instant Run (No Install Required)

# Initialize a new VisualSpec workspace
npx @utkarshx27/visualspec init

# Launch local MCP Server for Cursor, Claude, or Antigravity IDE
npx @utkarshx27/visualspec mcp

Or Install Globally

npm install -g @utkarshx27/visualspec

# Use CLI commands directly
visual init
visual mcp

Or Build from Source

git clone https://github.com/utkarshx27/visualspec.git
cd visualspec
npm install
npm run build

1. Initialize a Project

npx @utkarshx27/visualspec init

2. Validate a Visual Spec

npx @utkarshx27/visualspec validate examples/product-launch/spec.yaml

3. Inspect the Compiled Generation Prompt

npx @utkarshx27/visualspec compile examples/product-launch/spec.yaml --provider openai

4. Deterministic Render (No API Key Required)

Render layout, typography, and background styling locally:

npx @utkarshx27/visualspec render examples/product-launch/spec.yaml --output ./output/demo-launch

5. Run the Full Generation Pipeline

npx @utkarshx27/visualspec generate examples/product-launch/spec.yaml --provider mock --output ./output/demo-launch

6. Verify Asset Quality with Visual QA

npx @utkarshx27/visualspec check ./output/demo-launch/final.png --spec examples/product-launch/spec.yaml

Model Context Protocol (MCP) Server

VisualSpec runs as a native MCP server over stdio, enabling AI coding assistants (Cursor, Claude Code, Gemini CLI, and Antigravity IDE) to invoke visual tools directly:

# Launch MCP server over stdio
npx @utkarshx27/visualspec mcp

# Or if installed globally
visual mcp

Available MCP Tools

  • visual_brief_to_spec: Convert natural language requests into valid VisualSpec YAML.
  • visual_validate_spec: Schema validation for specs.
  • visual_render: Deterministic layout & typography rendering (zero API key).
  • visual_generate: Full image model adapter + deterministic text overlay pipeline.
  • visual_check_qa: Inspect safe margins, line counts, dimensions, and invariants.
  • visual_repair: Automated diagnosis and localized typography/layout repair.
  • visual_list_resources: List supported platform packs and templates.

See the MCP Setup Guide for Cursor, Claude Desktop, and Antigravity IDE configuration snippets.

Output Bundle

Every generation creates a complete, reproducible debug bundle:

output/demo-launch/
├── final.png                 # Platform-ready asset
├── visual-spec.yaml          # Original input specification
├── resolved-spec.yaml        # Full spec with platform & template rules applied
├── generation-request.json   # Exact prompt and negative parameters sent to model
├── qa-report.json            # Deterministic and constraint QA verification results
└── metadata.json             # Execution timestamps and file index

Supported Platforms & Templates

Platforms

  • Instagram: Feed portrait (1080x1350, 4:5), Square (1080x1080, 1:1), Story (1080x1920, 9:16).
  • LinkedIn: Feed portrait (1080x1350), Square (1080x1080), Banner (1200x628).
  • Generic Social: Universal 1:1, 4:5, and 16:9 social formats.

Templates

  • Product Launch: High-impact headline, feature pill, product visual region, supporting subhead.
  • Quote Card: Center-focused editorial quote, author attribution, minimal atmospheric glow.
  • Stat Card: Large numeric hero metric, descriptive label, and data context notes.

Agent Skills

The framework includes 10 standardized skill definitions located in ./skills/:

  • using-visualspec: Master workflow instructions.
  • visual-brief: Brief extraction and analysis.
  • visual-spec: YAML authoring and schema rules.
  • composition: Spatial hierarchy and negative space allocation.
  • typography: Font family classing and line budgeting.
  • strict-constraints: Invariant taxonomy and forbidden parameters.
  • social-instagram: Instagram-specific design reasoning.
  • social-linkedin: LinkedIn-specific design reasoning.
  • visual-qa: Automated inspection and validation.
  • visual-repair: Localized diagnosis and patch generation.

Roadmap & Open Contributions

We welcome contributions! Key areas to build together:

  • Additional Platforms: X/Twitter (Header, Post), YouTube Thumbnails, Pinterest, TikTok Cover.
  • Additional Templates: Testimonial, Product Comparison, Event Announcement, Feature List.
  • Additional Image Model Adapters: Flux, Stable Diffusion / ComfyUI, Midjourney API.
  • Brand Packs: Multi-brand palette overrides, custom font loading, logo clear space rules.
  • Visual Studio: Local web playground / viewer for real-time spec inspection and margin toggling.

Contributing

Contributions are welcome! Please check our:

Testing

Run the automated test suite:

npm test

All 28 tests run offline without requiring any third-party API keys.

License

Licensed under the Apache License, Version 2.0.

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